Adversarial Jamming for a More Effective Constellation Attack
Haidong Xie, Yizhou Xu, Yuanqing Chen, Nan Ji, Shuai Yuan, Naijin Liu,, Xueshuang Xiang

TL;DR
This paper introduces an adversarial jamming waveform for wireless communication that optimizes jamming effectiveness against QAM signals, significantly increasing bit error rates over traditional methods.
Contribution
It proposes a novel adversarial waveform design method that independently optimizes jamming signals for improved disruption of QAM communications.
Findings
Optimal jamming waveform aligns with amplitude and phase between nearest constellation points.
The method significantly outperforms traditional band barrage jamming in hardware tests.
Enhanced bit error rate performance demonstrates improved jamming effectiveness.
Abstract
The common jamming mode in wireless communication is band barrage jamming, which is controllable and difficult to resist. Although this method is simple to implement, it is obviously not the best jamming waveform. Therefore, based on the idea of adversarial examples, we propose the adversarial jamming waveform, which can independently optimize and find the best jamming waveform. We attack QAM with adversarial jamming and find that the optimal jamming waveform is equivalent to the amplitude and phase between the nearest constellation points. Furthermore, by verifying the jamming performance on a hardware platform, it is shown that our method significantly improves the bit error rate compared to other methods.
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Security in Wireless Sensor Networks · Wireless Signal Modulation Classification
